Zhenghao Chen
About
In The Last Decade
Zhenghao Chen
115 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Materials Chemistry 968
- Electronic, Optical and Magnetic Materials 751
- Electrical and Electronic Engineering 568
- Biomedical Engineering 490
- Computer Vision and Pattern Recognition 349
Countries citing papers authored by Zhenghao Chen
This map shows the geographic impact of Zhenghao Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhenghao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenghao Chen more than expected).
Fields of papers citing papers by Zhenghao Chen
This network shows the impact of papers produced by Zhenghao Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhenghao Chen. The network helps show where Zhenghao Chen may publish in the future.
Co-authorship network of co-authors of Zhenghao Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Zhenghao Chen. A scholar is included among the top collaborators of Zhenghao Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhenghao Chen. Zhenghao Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 14 | |
| 9 | 19 | |
| 10 | 50 | |
| 11 | Real-time programming exercise feedback in MOOCs. | 1 |
| 12 | 15 | |
| 13 | Tuned Models of Peer Assessment in MOOCs. | 56 |
| 14 | Sparse Filtering | 118 |
| 15 | Learning Deep Energy Models | 64 |
| 16 | On Random Weights and Unsupervised Feature Learning | 165 |
| 17 | Tiled convolutional neural networks | 169 |
| 18 | 13 | |
| 19 | 10 | |
| 20 | 18 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.